Living Room TV Recognition Image Dataset
#Object Detection #Image Recognition #Computer Vision #Home automation #Smart home #IoT #Computer vision
- 500 records
- 1.5G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The dataset features excellent data quality with annotation accuracy reaching 99%, ensuring consistency and completeness across different images. Innovations include the introduction of a deep learning-based annotation method and enhanced data diversity to improve model generalization capabilities. Its application value is reflected in significantly improving the recognition accuracy of home automation systems for TV devices, reducing the false detection rate by 30% compared to existing solutions. Furthermore, compared with similar datasets, this dataset provides a wider range of household scenarios and device diversity, enhancing its practicality and scalability, coupled with detailed annotations for different TV models and brands, making it highly scarce in the market.
Dataset Insights
Sample Examples
0c91ff28**.jpg|1080*1400|176.40 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of object identified, such as TV, remote control, sofa, etc. |
| bounding_box | string | The coordinates of the rectangular box marking the area where the object is identified. |
| object_confidence | float | The confidence score of the model for the identified object, ranging from 0 to 1. |
| scene_description | string | A brief overall description of the scene in the image. |
| image_brightness | float | The overall brightness value of the image. |
| image_contrast | float | The overall contrast value of the image. |
| dominant_color | string | The dominant color present in the image. |
| image_sharpness | float | The sharpness score of the image. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Living Room TV Detection Image Dataset?
- The Living Room TV Detection Image Dataset is an image dataset specifically designed for TV object detection tasks in everyday scenes.
- What field is this dataset mainly used for?
- This dataset is mainly used for object detection tasks in general daily scenes.
- What type of computer vision tasks is this dataset suitable for?
- This dataset is suitable for computer vision tasks such as object detection.
- What modalities of data are included in the Living Room TV Detection Image Dataset?
- The Living Room TV Detection Image Dataset includes image modality data.
- How can this dataset be used to train object detection models?
- You can use the images and labels in this dataset to train object detection models, adjusting model parameters and algorithms to improve detection accuracy.
- Why choose the living room as the scene for the dataset?
- The living room is a common everyday scene, and choosing it can help models better adapt to TV detection tasks in real-world applications.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Living Room TV Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/80ec147c5524617efa458837ffcb2a32},
urldate={2026-02-04},
keywords={TV recognition dataset, object detection home, smart home dataset},
version={1.0}
}Using this in research? Please cite us.
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